The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-05-20"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "4996472 (up from 4897492 yesterday: 2.02 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "328115 (up from 323285 yesterday: 1.49 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 6.57



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1551853 23285 1.52 93439 1518 1.65 6.02
Russia 308705 8764 2.92 2972 135 4.76 0.96
Brazil 291579 19694 7.24 18859 876 4.87 6.47
United Kingdom 249619 -519 -0.21 35786 364 1.03 14.34
Spain 232555 518 0.22 27888 110 0.40 11.99
Italy 227364 665 0.29 32330 161 0.50 14.22
France 181700 767 0.42 28135 110 0.39 15.48
Germany 178473 695 0.39 8144 63 0.78 4.56
Turkey 152587 972 0.64 4222 23 0.55 2.77
Iran 126949 2346 1.88 7183 64 0.90 5.66
India 112028 5553 5.22 3434 132 4.00 3.07
Peru 104020 4537 4.56 3024 110 3.77 2.91
China 84063 0 0.00 4638 0 0.00 5.52
Canada 81575 1082 1.34 6150 122 2.02 7.54
Saudi Arabia 62545 2691 4.50 339 10 3.04 0.54
Mexico 56594 2248 4.14 6090 424 7.48 10.76
Belgium 55983 192 0.34 9150 42 0.46 16.34
Chile 53617 4038 8.14 544 35 6.88 1.01
Pakistan 45898 1932 4.39 985 46 4.90 2.15
Netherlands 44647 198 0.45 5767 33 0.58 12.92
Qatar 37097 1491 4.19 16 1 6.67 0.04
Ecuador 34854 703 2.06 2888 49 1.73 8.29
Belarus 32426 918 2.91 179 4 2.29 0.55
Sweden 31523 724 2.35 3831 88 2.35 12.15
Switzerland 30658 40 0.13 1892 1 0.05 6.17
Portugal 29660 228 0.77 1263 16 1.28 4.26
Singapore 29364 570 1.98 22 0 0.00 0.07
Bangladesh 26738 1617 6.44 386 16 4.32 1.44
United Arab Emirates 26004 941 3.75 233 6 2.64 0.90
Ireland 24315 64 0.26 1571 10 0.64 6.46
Poland 19739 471 2.44 962 14 1.48 4.87
Ukraine 19230 354 1.88 564 16 2.92 2.93
Indonesia 19189 693 3.75 1242 21 1.72 6.47
South Africa 18003 803 4.67 339 27 8.65 1.88
Colombia 17687 752 4.44 630 17 2.77 3.56
Kuwait 17568 804 4.80 124 3 2.48 0.71
Romania 17387 196 1.14 1147 10 0.88 6.60
Israel 16667 8 0.05 279 1 0.36 1.67
Japan 16367 0 0.00 768 0 0.00 4.69
Austria 16353 32 0.20 633 1 0.16 3.87
Egypt 14229 745 5.53 680 21 3.19 4.78
Dominican Republic 13477 254 1.92 446 5 1.13 3.31
Philippines 13221 279 2.16 842 5 0.60 6.37
Denmark 11315 73 0.65 554 3 0.54 4.90
Korea, South 11122 12 0.11 264 1 0.38 2.37
Serbia 10833 100 0.93 235 1 0.43 2.17
Panama 9977 110 1.11 287 6 2.14 2.88
Argentina 9283 474 5.38 403 10 2.54 4.34
Czechia 8721 74 0.86 304 2 0.66 3.49
Norway 8281 14 0.17 234 1 0.43 2.83
Afghanistan 8145 492 6.43 187 9 5.06 2.30
Bahrain 7888 356 4.73 12 0 0.00 0.15
Algeria 7542 165 2.24 568 7 1.25 7.53
Morocco 7133 110 1.57 194 1 0.52 2.72
Australia 7081 9 0.13 100 0 0.00 1.41
Malaysia 7009 31 0.44 114 0 0.00 1.63
Kazakhstan 6969 218 3.23 35 0 0.00 0.50
Nigeria 6677 276 4.31 200 8 4.17 3.00
Moldova 6553 213 3.36 228 7 3.17 3.48
Finland 6443 44 0.69 304 3 1.00 4.72
Ghana 6269 173 2.84 31 0 0.00 0.49
Oman 6043 372 6.56 30 3 11.11 0.50
Armenia 5271 230 4.56 67 3 4.69 1.27
Bolivia 4919 438 9.77 199 10 5.29 4.05
Luxembourg 3971 13 0.33 109 0 0.00 2.74
Cameroon 3733 204 5.78 146 6 4.29 3.91
Iraq 3724 113 3.13 134 3 2.29 3.60
Azerbaijan 3631 113 3.21 43 2 4.88 1.18
Hungary 3598 42 1.18 470 3 0.64 13.06
Thailand 3034 1 0.03 56 0 0.00 1.85
Honduras 2955 0 0.00 147 0 0.00 4.97
Uzbekistan 2939 84 2.94 13 0 0.00 0.44
Guinea 2863 0 0.00 18 0 0.00 0.63
Greece 2850 10 0.35 166 1 0.61 5.82
Sudan 2728 0 0.00 111 0 0.00 4.07
Senegal 2714 97 3.71 30 0 0.00 1.11
Bosnia and Herzegovina 2338 17 0.73 136 2 1.49 5.82
Bulgaria 2292 33 1.46 116 4 3.57 5.06
Guatemala 2265 132 6.19 45 2 4.65 1.99
Croatia 2234 2 0.09 96 0 0.00 4.30
Cote d’Ivoire 2231 78 3.62 29 1 3.57 1.30
Tajikistan 2140 204 10.54 41 0 0.00 1.92
Cuba 1900 13 0.69 79 0 0.00 4.16
North Macedonia 1858 19 1.03 110 4 3.77 5.92
Djibouti 1828 210 12.98 9 2 28.57 0.49
Iceland 1803 1 0.06 10 0 0.00 0.55
Estonia 1794 3 0.17 64 0 0.00 3.57
Congo (Kinshasa) 1731 102 6.26 61 0 0.00 3.52
Lithuania 1577 15 0.96 60 0 0.00 3.80
Somalia 1573 71 4.73 61 2 3.39 3.88
El Salvador 1571 73 4.87 31 1 3.33 1.97
Gabon 1567 65 4.33 12 0 0.00 0.77
New Zealand 1503 0 0.00 21 0 0.00 1.40
Slovakia 1496 1 0.07 28 0 0.00 1.87
Slovenia 1468 1 0.07 105 1 0.96 7.15
Kyrgyzstan 1270 27 2.17 14 0 0.00 1.10
Maldives 1186 43 3.76 4 0 0.00 0.34
Guinea-Bissau 1089 51 4.91 6 0 0.00 0.55
Tunisia 1045 1 0.10 47 0 0.00 4.50
Kenya 1029 66 6.85 50 0 0.00 4.86
Sri Lanka 1028 1 0.10 9 0 0.00 0.88
Latvia 1016 4 0.40 21 0 0.00 2.07

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 354370 1525 0.43 28636 78 0.27 8.08 18216.20 1472.02 1 in 55
New Jersey 150776 1420 0.95 10749 162 1.53 7.13 16975.09 1210.17 1 in 59
Illinois 100418 2388 2.44 4525 146 3.33 4.51 7924.51 357.09 1 in 126
Massachusetts 88970 1045 1.19 6066 128 2.16 6.82 12802.35 872.87 1 in 78
California 85997 2245 2.68 3497 94 2.76 4.07 2176.47 88.50 1 in 459
Pennsylvania 68126 815 1.21 4770 142 3.07 7.00 5321.52 372.60 1 in 188
Michigan 53009 659 1.26 5060 43 0.86 9.55 5307.88 506.67 1 in 188
Texas 51673 1121 2.22 1426 38 2.74 2.76 1782.08 49.18 1 in 561
Florida 47471 527 1.12 2096 44 2.14 4.42 2210.24 97.59 1 in 452
Maryland 42323 777 1.87 2123 42 2.02 5.02 7000.54 351.16 1 in 143
Georgia 39801 946 2.43 1697 22 1.31 4.26 3748.65 159.83 1 in 267
Connecticut 39017 587 1.53 3529 57 1.64 9.04 10943.58 989.82 1 in 91
Louisiana 35316 278 0.79 2608 27 1.05 7.38 7596.81 561.01 1 in 132
Virginia 32908 763 2.37 1075 33 3.17 3.27 3855.42 125.94 1 in 259
Ohio 29436 484 1.67 1781 61 3.55 6.05 2518.24 152.36 1 in 397
Indiana 29274 569 1.98 1864 40 2.19 6.37 4348.34 276.88 1 in 230
Colorado 22797 315 1.40 1299 42 3.34 5.70 3958.68 225.57 1 in 253
North Carolina 20262 1023 5.32 726 33 4.76 3.58 1931.91 69.22 1 in 518
Washington 18971 160 0.85 1037 6 0.58 5.47 2491.30 136.18 1 in 401
Tennessee 18412 0 0.00 305 0 0.00 1.66 2694.50 44.64 1 in 371
Minnesota 17670 641 3.76 786 29 3.83 4.45 3133.18 139.37 1 in 319
Iowa 15620 324 2.12 393 26 7.08 2.52 4950.76 124.56 1 in 202
Arizona 14906 330 2.26 747 42 5.96 5.01 1957.48 98.10 1 in 511
Wisconsin 13413 528 4.10 481 14 3.00 3.59 2303.68 82.61 1 in 434
Rhode Island 13356 405 3.13 538 6 1.13 4.03 12607.60 507.85 1 in 79
Alabama 13052 676 5.46 522 18 3.57 4.00 2661.94 106.46 1 in 376
Mississippi 11967 263 2.25 570 16 2.89 4.76 4020.97 191.52 1 in 249
Missouri 11528 135 1.18 640 9 1.43 5.55 1878.31 104.28 1 in 532
Nebraska 11122 268 2.47 138 15 12.20 1.24 5749.56 71.34 1 in 174
South Carolina 9175 119 1.31 407 8 2.01 4.44 1782.00 79.05 1 in 561
Kansas 8507 154 1.84 202 3 1.51 2.37 2920.04 69.34 1 in 342
Delaware 8194 157 1.95 310 6 1.97 3.78 8414.77 318.35 1 in 119
Kentucky 8167 98 1.21 376 10 2.73 4.60 1828.02 84.16 1 in 547
Utah 7710 192 2.55 90 2 2.27 1.17 2404.90 28.07 1 in 416
District of Columbia 7551 117 1.57 407 7 1.75 5.39 10699.27 576.69 1 in 93
Nevada 7388 292 4.11 377 19 5.31 5.10 2398.58 122.40 1 in 417
New Mexico 6317 125 2.02 283 7 2.54 4.48 3012.64 134.97 1 in 332
Oklahoma 5532 43 0.78 299 6 2.05 5.40 1398.04 75.56 1 in 715
Arkansas 5003 80 1.63 107 5 4.90 2.14 1657.82 35.46 1 in 603
South Dakota 4177 92 2.25 46 0 0.00 1.10 4721.59 52.00 1 in 212
New Hampshire 3868 147 3.95 190 18 10.47 4.91 2844.72 139.74 1 in 352
Oregon 3801 75 2.01 144 4 2.86 3.79 901.19 34.14 1 in 1110
Puerto Rico 2866 61 2.17 125 1 0.81 4.36 897.39 39.14 1 in 1114
Idaho 2506 51 2.08 77 3 4.05 3.07 1398.39 42.97 1 in 715
North Dakota 2095 101 5.07 49 4 8.89 2.34 2749.12 64.30 1 in 364
Maine 1819 78 4.48 73 0 0.00 4.01 1353.21 54.31 1 in 739
West Virginia 1567 65 4.33 69 1 1.47 4.40 876.82 38.61 1 in 1140
Vermont 944 0 0.00 54 0 0.00 5.72 1512.85 86.54 1 in 661
Wyoming 787 11 1.42 11 1 10.00 1.40 1359.81 19.01 1 in 735
Hawaii 643 2 0.31 17 0 0.00 2.64 454.14 12.01 1 in 2202
Montana 478 7 1.49 16 0 0.00 3.35 447.24 14.97 1 in 2236
Alaska 401 1 0.25 10 0 0.00 2.49 548.15 13.67 1 in 1824

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 1505836 354370 23.53 77406.70
New Jersey 531343 150776 28.38 59821.17
Illinois 642713 100418 15.62 50719.86
Massachusetts 489953 88970 18.16 70501.88
California 1380120 85997 6.23 34928.94
Pennsylvania 349700 68126 19.48 27316.07
Michigan 437072 53009 12.13 43764.72
Texas 770241 51673 6.71 26563.81
Florida 771348 47471 6.15 35913.84
Maryland 215330 42323 19.65 35617.17
Georgia 402940 39801 9.88 37950.83
Connecticut 190718 39017 20.46 53493.03
Louisiana 285970 35316 12.35 61514.88
Virginia 212626 32908 15.48 24910.73
Ohio 289528 29436 10.17 24769.06
Indiana 195738 29274 14.96 29074.81
Colorado 131837 22797 17.29 22893.39
North Carolina 277603 20262 7.30 26468.42
Washington 293120 18971 6.47 38492.99
Tennessee 354013 18412 5.20 51807.99
Minnesota 167338 17670 10.56 29671.79
Iowa 110748 15620 14.10 35101.60
Arizona 165435 14906 9.01 21725.19
Wisconsin 167713 13413 8.00 28804.62
Rhode Island 120528 13356 11.08 113774.25
Alabama 164450 13052 7.94 33539.42
Mississippi 120680 11967 9.92 40549.05
Missouri 161984 11528 7.12 26392.81
Nebraska 72135 11122 15.42 37290.48
South Carolina 135063 9175 6.79 26232.38
Kansas 71203 8507 11.95 24440.55
Delaware 45412 8194 18.04 46635.53
Kentucky 153986 8167 5.30 34466.71
Utah 179664 7710 4.29 56040.66
District of Columbia 40419 7551 18.68 57271.07
Nevada 91171 7388 8.10 29599.47
New Mexico 142246 6317 4.44 67838.63
Oklahoma 144371 5532 3.83 36485.23
Arkansas 96258 5003 5.20 31896.48
South Dakota 30389 4177 13.75 34351.09
New Hampshire 50888 3868 7.60 37425.60
Oregon 102149 3801 3.72 24218.91
Puerto Rico 2866 2866 100.00 897.39
Idaho 38567 2506 6.50 21520.98
North Dakota 59200 2095 3.54 77683.97
Maine 37269 1819 4.88 27725.54
West Virginia 80641 1567 1.94 45122.76
Vermont 25058 944 3.77 40157.76
Wyoming 18840 787 4.18 32552.41
Hawaii 46304 643 1.39 32703.52
Montana 29726 478 1.61 27813.07
Alaska 37045 401 1.08 50639.40

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 39297 2161 5.82 10318 26.26 27589 1390 65 4.91 3.54
Tamil Nadu 13191 743 5.97 5882 44.59 7221 88 3 3.53 0.67
Gujarat 12539 398 3.28 5219 41.62 6571 749 30 4.17 5.97
Delhi 11088 534 5.06 5192 46.83 5720 176 10 6.02 1.59
Rajasthan 6015 170 2.91 3404 56.59 2464 147 4 2.80 2.44
Madhya Pradesh 5735 270 4.94 2734 47.67 2734 267 9 3.49 4.66
Uttar Pradesh 5175 249 5.05 3066 59.25 1982 127 4 3.25 2.45
West Bengal 3103 142 4.80 1136 36.61 1714 253 3 1.20 8.15
Andhra Pradesh 2560 71 2.85 1664 65.00 843 53 1 1.92 2.07
Punjab 2005 3 0.15 1794 89.48 173 38 0 0.00 1.90
Telangana 1661 27 1.65 1013 60.99 610 38 0 0.00 2.29
Bihar 1607 34 2.16 571 35.53 1027 9 0 0.00 0.56
Karnataka 1462 67 4.80 556 38.03 864 41 1 2.50 2.80
State Unassigned 1403 307 28.01 0 0.00 1403 0 0 NaN 0.00
Jammu and Kashmir 1390 73 5.54 678 48.78 694 18 1 5.88 1.29
Odisha 1052 74 7.57 343 32.60 703 6 1 20.00 0.57
Haryana 993 29 3.01 648 65.26 331 14 0 0.00 1.41
Kerala 667 24 3.73 502 75.26 161 4 0 0.00 0.60
Jharkhand 290 42 16.94 129 44.48 158 3 0 0.00 1.03
Chandigarh 202 3 1.51 136 67.33 63 3 0 0.00 1.49
Assam 189 31 19.62 49 25.93 133 4 0 0.00 2.12
Tripura 173 4 2.37 116 67.05 57 0 0 NaN 0.00
Uttarakhand 122 11 9.91 53 43.44 68 1 0 0.00 0.82
Chhattisgarh 114 14 14.00 59 51.75 55 0 0 NaN 0.00
Himachal Pradesh 110 18 19.57 50 45.45 53 4 0 0.00 3.64
Goa 50 4 8.70 7 14.00 43 0 0 NaN 0.00
Ladakh 44 1 2.33 43 97.73 1 0 0 NaN 0.00
Andaman and Nicobar Islands 33 0 0.00 33 100.00 0 0 0 NaN 0.00
Manipur 25 18 257.14 2 8.00 23 0 0 NaN 0.00
Puducherry 23 1 4.55 10 43.48 13 0 0 NaN 0.00
Meghalaya 14 1 7.69 12 85.71 1 1 0 0.00 7.14
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Mizoram 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 0 NaN 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 607863 85775 294 0.34 14.11 4281 231 26671 15662 18.26
Piemonte 264624 29885 158 0.53 11.29 1513 96 9151 3718 12.44
Emilia-Romagna 274362 27364 50 0.18 9.97 626 96 5098 4008 14.65
Veneto 536798 19030 33 0.17 3.55 255 16 3532 1832 9.63
Toscana 214299 9982 14 0.14 4.66 178 45 2117 998 10.00
Liguria 85140 9289 32 0.35 10.91 310 22 2178 1386 14.92
Lazio 217849 7533 28 0.37 3.46 1119 74 3786 647 8.59
Marche 90093 6677 2 0.03 7.41 125 16 1974 987 14.78
Campania 150764 4714 7 0.15 3.13 318 12 1442 401 8.51
Puglia 95895 4407 11 0.25 4.60 242 21 1902 478 10.85
P.A. Trento 72031 4368 10 0.23 6.06 39 6 126 455 10.42
Sicilia 123573 3411 8 0.24 2.76 118 11 1523 268 7.86
Friuli Venezia Giulia 108671 3209 6 0.19 2.95 76 2 596 322 10.03
Abruzzo 61123 3205 8 0.25 5.24 185 6 1317 389 12.14
P.A. Bolzano 56310 2587 0 0.00 4.59 43 5 272 291 11.25
Umbria 59220 1427 0 0.00 2.41 25 2 66 74 5.19
Sardegna 45572 1355 1 0.07 2.97 68 10 331 126 9.30
Valle d’Aosta 12920 1175 0 0.00 9.09 25 1 46 143 12.17
Calabria 58468 1156 3 0.26 1.98 49 1 353 96 8.30
Molise 12158 422 0 0.00 3.47 7 2 198 22 5.21
Basilicata 23986 393 0 0.00 1.64 22 1 73 27 6.87

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 44784 578 1.31 3719 71 1.95 8.30 5245.46 435.60 1 in 191
Ontario 25197 442 1.79 2079 47 2.31 8.25 1712.70 141.31 1 in 584
Alberta 6735 19 0.28 128 0 0.00 1.90 1526.12 29.00 1 in 655
British Columbia 2467 21 0.86 149 3 2.05 6.04 482.69 29.15 1 in 2072
Nova Scotia 1045 1 0.10 57 1 1.79 5.45 1069.10 58.31 1 in 935
Saskatchewan 620 21 3.51 7 0 0.00 1.13 524.68 5.92 1 in 1906
Manitoba 290 0 0.00 7 0 0.00 2.41 210.52 5.08 1 in 4750
Newfoundland and Labrador 260 0 0.00 3 0 0.00 1.15 498.69 5.75 1 in 2005
New Brunswick 120 0 0.00 0 0 NaN 0.00 153.85 0.00 1 in 6500
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1590 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1055 4 0.38
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 945 13 1.38
Jiangxi 937 1 0.11
Shandong 788 7 0.89
Shanghai 666 7 1.05
Jiangsu 653 0 0.00
Beijing 593 9 1.52
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 356 1 0.28
Hebei 328 6 1.83
Shaanxi 308 3 0.97
Guangxi 254 2 0.79
Inner Mongolia 216 1 0.46
Shanxi 198 0 0.00
Tianjin 192 3 1.56
Yunnan 185 2 1.08
Hainan 169 6 3.55
Jilin 151 2 1.32
Liaoning 149 2 1.34
Guizhou 147 2 1.36
Gansu 139 2 1.44
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 4742.83 285.57 1 in 211
Russia 2136.37 20.57 1 in 468
Brazil 1393.12 90.11 1 in 718
United Kingdom 3757.06 538.62 1 in 266
Spain 4984.03 597.69 1 in 201
Italy 3759.33 534.56 1 in 266
France 2712.35 419.99 1 in 369
Germany 2155.73 98.37 1 in 464
Turkey 1888.22 52.25 1 in 530
Iran 1564.18 88.50 1 in 639
India 83.67 2.56 1 in 11952
Peru 3233.45 94.00 1 in 309
China 60.65 3.35 1 in 16488
Canada 2170.13 163.61 1 in 461
Saudi Arabia 1898.76 10.29 1 in 527
Mexico 438.03 47.14 1 in 2283
Belgium 4910.79 802.63 1 in 204
Chile 2970.47 30.14 1 in 337
Pakistan 232.98 5.00 1 in 4292
Netherlands 2598.78 335.68 1 in 385

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 194550 20934 10.76
Cook Illinois 66213 3074 4.64
Los Angeles California 40895 1973 4.82
Nassau New York 39368 2065 5.25
Suffolk New York 38411 1791 4.66
Westchester New York 32517 1305 4.01
Philadelphia Pennsylvania 20359 1152 5.66
Middlesex Massachusetts 19708 1462 7.42
Wayne Michigan 19432 2284 11.75
Hudson New Jersey 18880 1106 5.86
Bergen New Jersey 17518 1500 8.56
Suffolk Massachusetts 16962 807 4.76
Essex New Jersey 16952 1571 9.27
Miami-Dade Florida 16034 589 3.67
Passaic New Jersey 15426 855 5.54
Union New Jersey 15122 994 6.57
Middlesex New Jersey 14954 913 6.11
Fairfield Connecticut 14719 1167 7.93
Essex Massachusetts 12920 817 6.32
Rockland New York 12831 611 4.76
Prince George’s Maryland 12446 453 3.64
New Haven Connecticut 10587 855 8.08
Harris Texas 10095 210 2.08
Orange New York 10043 419 4.17
Providence Rhode Island 9976 0 0.00
Worcester Massachusetts 9780 625 6.39
Hartford Connecticut 9234 1116 12.09
Montgomery Maryland 9052 515 5.69
Marion Indiana 8656 505 5.83
Ocean New Jersey 8165 656 8.03
Fairfax Virginia 8163 302 3.70
Oakland Michigan 8117 935 11.52
Dallas Texas 7904 191 2.42
Maricopa Arizona 7644 357 4.67
Norfolk Massachusetts 7607 749 9.85
King Washington 7602 535 7.04
District of Columbia District of Columbia 7551 407 5.39
Monmouth New Jersey 7541 531 7.04
Plymouth Massachusetts 7280 481 6.61
Jefferson Louisiana 7128 431 6.05
Lake Illinois 6905 231 3.35
Orleans Louisiana 6884 500 7.26
Broward Florida 6407 285 4.45
Macomb Michigan 6392 763 11.94
DuPage Illinois 6308 326 5.17
Riverside California 6184 270 4.37
Bristol Massachusetts 6165 338 5.48
Mercer New Jersey 6162 431 6.99
Montgomery Pennsylvania 6154 596 9.68
San Diego California 6140 230 3.75

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc